Comparing traffic engineering objective functions

Authors:
Simon Balon;Fabian Skivée;Guy Leduc
Affiliations:
University of Liège;University of Liège;University of Liège
Venue:
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Year:
2005

Citing 2
Cited 1

MATE: multipath adaptive traffic engineering

Computer Networks: The International Journal of Computer and Telecommunications Networking
Inter-Area Traffic Engineering in a Differentiated Services Network

Journal of Network and Systems Management

Linear programming models for traffic engineering in 100% survivable networks under combined IS-IS/OSPF and MPLS-TE

Computers and Operations Research

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Abstract

We compare and evaluate how well-known and novel network-wide objective functions for Traffic Engineering (TE) algorithms fulfil TE requirements. To compare the objective functions we model the TE problem as a linear program and solve it to optimality, thus finding for each objective function the best possible target of any heuristic TE algorithm. Our first results on the GÉANT network suggest that they can give quite different results.